Sökning: "data systemvetenskap"

Visar resultat 1 - 5 av 852 avhandlingar innehållade orden data systemvetenskap.

1. 1. External Data Incorporation into Data Warehouses

   Författare :Mattias Strand; Benkt Wangler; Mats Danielsson; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data warehouse; external data; syndicate data; Computer and systems science; Data- och systemvetenskap; Technology;

   Sammanfattning : Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. LÄS MER

3. 2. Order in the random forest

   Författare :Isak Karlsson; Henrik Boström; Lars Asker; Pierre Geurts; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; random forest; ensemble; time series; data series; sequential data; sparse data; high-dimensional data; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. LÄS MER

4. 3. Learning from Complex Medical Data Sources

   Författare :Jonathan Rebane; Panagiotis Papapetrou; Isak Samsten; Myra Spiliopoulou; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Data Science; Healthcare; Complex Data; Explainable AI; Deep Learning; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : Large, varied, and time-evolving data sources can be observed across many domains and present a unique challenge for classification problems, in which traditional machine learning approaches must be adapted to accommodate for the complex nature of such data. Across most domains, there is also a need for machine learning models that are both well-performing and interpretable, to help provide explanations of a model's decisions that stakeholders can trust and take appropriate actions with. LÄS MER

5. 4. Strategic Planning of Knowledge Management Systems : A Problem Exploration Approach

   Författare :Jan Aidemark; Harald Kjellin; Peter Révay; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap; Knowledge management; Informatics; computer and systems science; Information Systems;

   Sammanfattning : Knowledge management (KM) is focused on the problems and opportunities of using organizational knowledge as a resource. Information systems that are used to support KM processes are called knowledge management systems (KMS). LÄS MER

7. 5. Plot, Spectacle, and Experience : Contributions to the Design and Evaluation of Interactive Storytelling

   Författare :Jarmo Laaksolahti; Kristina Höök; Ruth Aylett; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Interactive storytelling is a new form of storytelling emerging in the crossroads of many scholarly, artistic, and industrial traditions. In interactive stories the reader/spectator moves from being a receiver of a story to an active participant. LÄS MER